Identifying fall-protection training needs for residential roofing subcontractors.

Falls remain the leading cause of injuries and fatalities in the small residential roofing industry and analogous investigations are underrepresented in the literature. To address this issue, fall-protection training needs were explored through 29 semi-structured interviews among residential roofing subcontractors with respect to recommendations for the design of fall-protection training. Content analysis using grounded theory was conducted to analyze participants' responses. Results of the analysis revealed six themes related to the design of current fall-protection training: (1) barriers to safety training; (2) problems of formal safety-training programs; (3) recommendations for training implementation; (4) important areas for fall-protection training; (5) training delivery means; and (6) design features of training materials. Results of the study suggest the need for informal jobsite safety training to complement what had been covered in formalized safety training. This work also provides recommendations for the design of a more likely adopted fall-protection training program.

Enhancing digital driver models: identification of distinct postural strategies used by drivers.

Driver workspace design and evaluation is, in part, based on assumed driving postures of users and determines several ergonomic aspects of a vehicle, such as reach, visibility and postural comfort. Accurately predicting and specifying standard driving postures, hence, are necessary to improve the ergonomic quality of the driver workspace. In this study, a statistical clustering approach was employed to reduce driving posture simulation/prediction errors, assuming that drivers use several distinct postural strategies when interacting with automobiles. 2-D driving postures, described by 16 joint angles, were obtained from 38 participants with diverse demographics (age, gender) and anthropometrics (stature, body mass) and in two vehicle classes (sedans and SUVs). Based on the proximity of joint angle sets, cluster analysis yielded three predominant postural strategies in each vehicle class (i.e. 'lower limb flexed', 'upper limb flexed' and 'extended'). Mean angular differences between clusters ranged from 3.8 to 52.4 degrees for the majority of joints, supporting the practical relevance of the distinct clusters. The existence of such postural strategies should be considered when utilising digital human models (DHMs) to enhance and evaluate driver workspace design ergonomically and proactively. STATEMENT OF RELEVANCE: This study identified drivers' distinct postural strategies, based on actual drivers' behaviours. Such strategies can facilitate accurate positioning of DHMs and hence help design ergonomic driver workspaces.

Efficacy of an assistive intervention for abdominal surgery patients in postoperative care.

PURPOSE: The objective of this study was to assess efficacy of a bed-assistive device during at-home recovery through self-reports of self-perceived recovery status and oral pain medication usage. METHODS: A case-control design was used to determine differences in self-perceived recovery measures and pain medication according to surgical procedure, device/no device, and age strata. Fifteen female patients undergoing abdominal hysterectomy (n = 6) or Cesarean-section (n = 9) procedures were recruited. Stratified sampling techniques were used to assign patients to the control (n = 8; age, 34.0 [6.3] years) and devices groups (n = 7; 40.7 [12.4] years). Both groups completed 12 questionnaires on perceived recovery status, activities of daily living, and pain medication usage over a five-week recovery period. Device group patients received training on device usage prior to surgery. Repeated measures ANOVA were used to analyse data and compare data across experimental groups. RESULTS: In general, device users reported higher levels of energy, less pain interference, lower perceived pain, less reliance on pain medication and returned to activities of daily living faster than the control group. CONCLUSION: Self-assistive device usage provides significant subjective and objective improvements during at-home recovery and promotes patient independence.